Unverified50% confidenceOpinionExact time
The developer deliberately avoided using an LLM for verification work, because using a hallucination-prone model to verify another model's output would cause the verification step itself to be contaminated by hallucinations
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
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Related Claims
UnverifiedLLMs may make incorrect judgments due to hallucinations, prompt injection, or contextual misunderstanding, and without independent verification mechanisms, faulty reasoning can directly translate into erroneous production operations75% similarUnverifiedLLM outputs are probabilistic, carry hallucination risks, and may misjudge context and invoke tools that should not be invoked.71% similarUnverified即使通过Prompt明确要求禁止捏造，模型仍然可能在高置信度场景下输出幻觉内容68% similarUnverifiedCurrent LLMs tend to generate seemingly reasonable but flawed code (hallucinations in the code domain) on tasks that exceed their capability boundaries, which developers lacking engineering experience find difficult to identify during code review.67% similar
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